Preprint
Aug 2026
AquiLLM: An Architecture for Supporting Tacit Knowledge Capture in Research Groups
This work presents a series of architectural improvements and feature enhancements to AquiLLM, including local embedding and reranking, multimodal capabilities, OpenAI-compatible inference interfaces, user interface improvements, semantic and episodic memory capabilities, and skills support.
J. Stark, S. Saikrishnan, Vikram Seenivasan et al.
· 1 citation